Intern, Software Engineer - Geometric Reasoning
Autodesk
Job Requisition ID #
As an Intern in Autodesk Research’s AI Lab you'll apply advanced machine learning techniques to help our customers design and create a better, safer, more sustainable world. We are a team of researchers, engineers, and industry domain experts working on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
We are looking for an intern to work with us on machine learning research applied to design. The research involves training decoder only transformer models on sequences encoding geometric information and evaluating the quality of the output. Candidates should have experience with transformer models, as well as a good grounding in geometry processing.
We're passionate about making design tools to enable design exploration (getting to alternative design solutions), design automation (getting to the finished design faster), and sustainable design (with less negative impact). We hope to learn how our customers design today, to enable smarter software tomorrow.
Autodesk's AI Lab is active in the wider research community, targeting publications at NeurIPS, ICML, ICLR, and other top-tier conferences. We collaborate with top academic & industry labs, combining the best of an academic environment with product-driven research.
Responsibilities
Train decoder only transformer models on sequences encoding CAD geometry
Write code to evaluate model performance by analyzing the generated sequences
Review literature and identify related work
Work with other researchers and engineers towards common goals
Use existing frameworks/libraries and implement necessary tools as required
Document and communicate progress
Minimum Qualifications
Full-time student pursuing an MS or Ph.D. (preferred) in Computer Science, Computational Design, Graphics, Machine Learning or a discipline in an accredited program with at least one academic term to complete post-internship
Broad understanding of machine learning and deep learning
Excellent programming and software development skills, with experience in Python
Experience working with 2d geometry (points, vectors and transforms)
Proficient with ML & DL platforms & libraries (PyTorch, TensorFlow, Keras, scikit-learn, etc.)
Proficient with training models on AWS infrastructure
Experience conducting research and publishing results
An excellent communicator and team player
Interest or experience in design (e.g. industrial or mechanical design)
Preferred Qualifications
Experience working with domain specific languages
Knowledge of computational geometry and computer graphics
Knowledge of common graph algorithms (Dijkstra, feedback arc set cycle breaking, topological sorting)
Understanding of algorithms for geometric constraint solving
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